Evidence map›Paper›PMID 33466915›Full record

ReviewViruses2021

Antiviral Compounds for Blocking Arboviral Transmission in Mosquitoes.

Shengzhang Dong, George Dimopoulos

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Current Status of Chikungunya in India.Frontiers in microbiology · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Shengzhang DongW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0002-8218-4688
George DimopoulosW. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0001-6755-8111
Johns Hopkins University · US

Funding

Aedes antiviral RNAi pathwayR01AI141532 · NIAID · JOHNS HOPKINS UNIVERSITY · PI George Dimopoulos, KEVIN M MYLES · 2019 to 2026
$4.6M
NIAID NIH HHS R01 AI141532NIH HHS R01AI141532
6 · The paper itself

Abstract

Mosquito-borne arthropod-borne viruses (arboviruses) such as the dengue virus (DENV), Zika virus (ZIKV), and chikungunya virus (CHIKV) are important human pathogens that are responsible for significant global morbidity and mortality. The recent emergence and re-emergence of mosquito-borne viral diseases (MBVDs) highlight the urgent need for safe and effective vaccines, therapeutics, and vector-control approaches to prevent MBVD outbreaks. In nature, arboviruses circulate between vertebrate hosts and arthropod vectors; therefore, disrupting the virus lifecycle in mosquitoes is a major approach for combating MBVDs. Several strategies were proposed to render mosquitoes that are refractory to arboviral infection, for example, those involving the generation of genetically modified mosquitoes or infection with the symbiotic bacterium

Indexed as

AedesAnimalsAntiviral AgentsArbovirusesArbovirus InfectionsCells, CulturedDrug DiscoveryDrug Evaluation, PreclinicalHumansMosquito ControlMosquito VectorsVector Borne DiseasesVirus ReplicationAntiviral AgentsAedes aegyptiantiviral drugsarboviral transmission cycledengue virusmosquito-borne viral diseasessmall moleculesZika virus

Identifiers

PMID33466915
PMCPMC7830659
OpenAlexW3119342677

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.